This course is part of the Linear Algebra for Data Science Using Python Specialization

Moussa Doumbia +1 more instructor

Offered By

Linear Algebra for Data Science Using Python SpecializationHoward University

About this Course

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In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!

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Course 2 of 4 in the

Linear Algebra for Data Science Using Python Specialization

Approx. 10 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 4 in the

Linear Algebra for Data Science Using Python Specialization

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Moussa Doumbia

Department of Mathematics

2,058 Learners

4 Courses

Dennis Davenport

Graduate Director and Associate Professor

Department of Mathematics

2,058 Learners

4 Courses

Offered by

Howard University

Founded in 1867, Howard University is a private, research university that is comprised of 14 schools and colleges. Students pursue more than 140 programs of study leading to undergraduate, graduate and professional degrees. The University operates with a commitment to Excellence in Truth and Service and has produced one Schwarzman Scholar, three Marshall Scholars, four Rhodes Scholars, 12 Truman Scholars, 25 Pickering Fellows and more than 165 Fulbright recipients. Howard also produces more on-campus African American Ph.D. recipients than any other university in the United States. For more information on Howard University, visit www.howard.edu.

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Introduction to Finding Inverses

2 hours to complete

8 videos (Total 39 min), 1 reading, 3 quizzes

8 videos

Specialization Introduction 3mCourse Introduction3mInstrutor Introduction3mReview of Linear Equations4mDeterminants7mFind the Determinant of Any Matrix Using Python6mInverse of a 2 x 2 Matrix4mInverses of a 3 x 3 Matrix5m

1 reading

Welcome to Fundamentals of Linear Algebra and Data Science Concepts with Python10m

3 practice exercises

Finding Determinants30mFind the Inverse 30mFinding Inverses30m

Week2

Week 2

2 hours to complete

Introduction to Matrix Algebra with Python

2 hours to complete

5 videos (Total 33 min)

Week3

Week 3

2 hours to complete

Solving Systems of Linear Equations

2 hours to complete

5 videos (Total 35 min)

Week4

Week 4

4 hours to complete

Eigenvalues and Eigenvectors

Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: determinants, inverses, matrix algebra with Python, row reduction and, systems of linear equations. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll practice using linear transformation, Eigenvalues and Eigenvectors, and solving applications. We will cover the following learning objectives.

4 hours to complete

11 videos (Total 87 min)

11 videos

Linear Transformations4mExamples of Linear Transformations6mMatrix Representations of Transformations6mEigenvalues6mFinding Eigenvalues7mEigenspace5mDiagonalizable Matrix8mDiagonalizable Matrices II10mDiagonalization of a Matrix Using Python3mReal World Examples12mMore Real World Examples - PCA Step by Step16m

3 practice exercises

Linear Transformations30mDiagonalization of a Matrix Using Python30mEigenvalues and Eigenvectors30m

About the Linear Algebra for Data Science Using Python Specialization

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Fundamental Linear Algebra Concepts with Python

About this Course